class_docstr: Example agent whose learning curve is a random sigmoid.
  
  The dummy hyperparameters "width" and "height" determine the slope and
  maximum reward value reached.
code: def setup(self, config):
      self.timestep = 0
  
file_path: ray/python/ray/tune/utils/mock_trainable.py
imports: import json
  import numpy
  import os
  from ray.tune import Trainable
label_desc: Use image node_id 1 for calling the MyTrainableClass obj's underlying member method code with example usage: obj.setup(config) without return types